Quantitative validation of voxel-wise statistical analyses of autoradiographic rat brain volumes: Application to unilateral visual stimulation
暂无分享,去创建一个
Vincent Frouin | Guillaume Flandin | Philippe Hantraye | Anne-Sophie Hérard | Thierry Delzescaux | Edouard Duchesnay | Albertine Dubois | Gilles Bonvento | Laurent Besret | E. Duchesnay | G. Flandin | G. Bonvento | V. Frouin | P. Hantraye | T. Delzescaux | A. Hérard | A. Dubois | L. Besret
[1] K. Allen,et al. Metabolic activity in rat visual system during exposure to high and low intensities of patterned and diffuse light. , 1995, The International journal of neuroscience.
[2] Angelo Bifone,et al. A stereotaxic MRI template set for the rat brain with tissue class distribution maps and co-registered anatomical atlas: Application to pharmacological MRI , 2006, NeuroImage.
[3] Arthur W. Toga,et al. Postmortem high-resolution 3-dimensional imaging of the primate brain: Blockface imaging of perfusion stained tissue , 2006, NeuroImage.
[4] Alberto F. Goldszal,et al. Three-Dimensional Reconstruction of Activated Columns from 2-[14C]Deoxy-d-glucose Data , 1995, NeuroImage.
[5] Johan Nuyts,et al. Construction and evaluation of multitracer small-animal PET probabilistic atlases for voxel-based functional mapping of the rat brain. , 2006, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[6] Vincent Frouin,et al. Automated Three-Dimensional Analysis of Histological and Autoradiographic Rat Brain Sections: Application to an Activation Study , 2007, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[7] Alain Pitiot,et al. Piecewise affine registration of biological images for volume reconstruction , 2006, Medical Image Anal..
[8] Yoshimi Anzai,et al. Statistical mapping of functional olfactory connections of the rat brain in vivo , 2004, NeuroImage.
[9] Andreas Hess,et al. A new method for reliable and efficient reconstruction of 3-dimensional images from autoradiographs of brain sections , 1998, Journal of Neuroscience Methods.
[10] Rachid Deriche,et al. Using Canny's criteria to derive a recursively implemented optimal edge detector , 1987, International Journal of Computer Vision.
[11] Jeih-San Liow,et al. Absolute quantification of regional cerebral glucose utilization in mice by 18F-FDG small animal PET scanning and 2-14C-DG autoradiography. , 2004, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[12] N. Ayache,et al. Three-dimensional reconstruction of stained histological slices and 3D non-linear registration with in-vivo MRI for whole baboon brain , 2007, Journal of Neuroscience Methods.
[13] J. Roder,et al. In Vivo Magnetic Resonance Imaging and Semiautomated Image Analysis Extend the Brain Phenotype for cdf/cdf Mice , 2006, The Journal of Neuroscience.
[14] G. Jeffery,et al. Retinal ganglion cell death and terminal field retraction in the developing rodent visual system. , 1984, Brain research.
[15] J. Yang,et al. Mapping cerebral blood flow changes during auditory-cued conditioned fear in the nontethered, nonrestrained rat , 2006, NeuroImage.
[16] J. Mazziotta,et al. Brain Mapping: The Methods , 2002 .
[17] A W Toga,et al. Metabolic response of optic centers to visual stimuli in the albino rat: Anatomical and physiological considerations , 1981, The Journal of comparative neurology.
[18] W Zhao,et al. Three-Dimensional Quantitative Autoradiography by Disparity Analysis: Theory and Application to Image Averaging of Local Cerebral Glucose Utilization , 1995, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[19] Jean-Francois Mangin,et al. Robust Brain Segmentation Using Histogram Scale-Space Analysis and Mathematical Morphology , 1998, MICCAI.
[20] Karl J. Friston,et al. Analysis of fMRI Time-Series Revisited , 1995, NeuroImage.
[21] C. B. Smith,et al. Resolution, sensitivity and precision with autoradiography and small animal positron emission tomography: implications for functional brain imaging in animal research. , 2005, Nuclear medicine and biology.
[22] Grégoire Malandain,et al. Fusion of autoradiographs with an MR volume using 2-D and 3-D linear transformations , 2004, NeuroImage.
[23] G. Paxinos,et al. The Rat Brain in Stereotaxic Coordinates , 1983 .
[24] Sébastien Ourselin,et al. Reconstructing a 3D structure from serial histological sections , 2001, Image Vis. Comput..
[25] Fabrice Heitz,et al. A robust statistics-based global energy function for the alignment of serially acquired autoradiographic sections , 2003, Journal of Neuroscience Methods.
[26] Karl J. Friston,et al. Spatial transformation of images , 1997 .
[27] N. E. Larsen,et al. Computer-assisted three-dimensional reconstruction of the hippocampal region based on serial sections , 1991, Journal of Neuroscience Methods.
[28] Arthur W. Toga,et al. Postmortem anatomy from cryosectioned whole human brain , 1994, Journal of Neuroscience Methods.
[29] H. Benali,et al. BrainVISA: Software platform for visualization and analysis of multi-modality brain data , 2001, NeuroImage.
[30] K. Binns,et al. The synaptic pharmacology underlying sensory processing in the superior colliculus , 1999, Progress in Neurobiology.
[31] Arthur W. Toga,et al. Standard atlas space for C57BL/6J neonatal mouse brain , 2005, Anatomy and Embryology.
[32] Tzay Y. Young,et al. Pixel-based statistical analysis by a 3D clustering approach: Application to autoradiographic images , 2006, Comput. Methods Programs Biomed..
[33] Karl J. Friston,et al. A unified statistical approach for determining significant signals in images of cerebral activation , 1996, Human brain mapping.
[34] Arthur W. Toga,et al. A Three-Dimensional Multimodality Brain Map of the Nemestrina Monkey , 1997, Brain Research Bulletin.
[35] Karl J. Friston,et al. Comparing Functional (PET) Images: The Assessment of Significant Change , 1991, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[36] Jing-Huei Lee,et al. In vivo comparative imaging of dopamine D2 knockout and wild-type mice with (11)C-raclopride and microPET. , 2002, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[37] L. Sokoloff,et al. RELATION BETWEEN PHYSIOLOGICAL FUNCTION AND ENERGY METABOLISM IN THE CENTRAL NERVOUS SYSTEM , 1977, Journal of neurochemistry.
[38] Anders M. Dale,et al. Automated segmentation of neuroanatomical structures in multispectral MR microscopy of the mouse brain , 2005, NeuroImage.
[39] Michael Unser,et al. A pyramid approach to subpixel registration based on intensity , 1998, IEEE Trans. Image Process..
[40] Kwang Suk Park,et al. Voxel-based statistical analysis of cerebral glucose metabolism in the rat cortical deafness model by 3D reconstruction of brain from autoradiographic images , 2005, European Journal of Nuclear Medicine and Molecular Imaging.
[41] J. Ashburner,et al. Nonlinear spatial normalization using basis functions , 1999, Human brain mapping.
[42] Anna Devor,et al. In vivo tracing of major rat brain pathways using manganese-enhanced magnetic resonance imaging and three-dimensional digital atlasing , 2003, NeuroImage.
[43] Sébastien Ourselin,et al. Computation of the mid-sagittal plane in 3-D brain images , 2002, IEEE Transactions on Medical Imaging.
[44] Jean-Luc Anton,et al. Region of interest analysis using an SPM toolbox , 2010 .
[45] Christos Davatzikos,et al. Accuracy and Sensitivity of Detection of Activation Foci in the Brain via Statistical Parametric Mapping: A Study Using a PET Simulator , 2001, NeuroImage.
[46] Latifa Rbah,et al. A comparison of in vivo and in vitro neuroimaging of 5-HT1A receptor binding sites in the cat brain , 2006, Journal of Chemical Neuroanatomy.
[47] Simon R. Cherry,et al. Deficits in Striatal Dopamine D2 Receptors and Energy Metabolism Detected by in Vivo MicroPET Imaging in a Rat Model of Huntington's Disease , 2000, Experimental Neurology.
[48] B. J. Rooney,et al. Effects of square-wave gratings and diffuse light on metabolic activity in the rat visual system , 1988, Brain Research.
[49] Karl J. Friston,et al. Human Brain Function , 1997 .
[50] L. Sokoloff,et al. The [14C]deoxyglucose method: four years later. , 1979, Acta neurologica Scandinavica. Supplementum.
[51] C. R. Gallistel,et al. Resolution-limiting factors in 2-deoxyglucose autoradiography. I. Factors other than Diffusion , 1983, Brain Research.
[52] Arthur W. Toga,et al. High-Resolution Anatomy from in Situ Human Brain , 1994, NeuroImage.
[53] Lyndon S. Hibbard,et al. Objective image alignment for three-dimensional reconstruction of digital autoradiograms , 1988, Journal of Neuroscience Methods.
[54] G. Bonvento,et al. siRNA targeted against amyloid precursor protein impairs synaptic activity in vivo , 2006, Neurobiology of Aging.
[55] P G Morris,et al. Magnetic resonance imaging and magnetic resonance spectroscopy assessment of brain function in experimental animals and man , 1999, Journal of psychopharmacology.
[56] Charles R. Meyer,et al. Mutual Information for Automated Unwarping of Rat Brain Autoradiographs , 1997, NeuroImage.
[57] G. Houston,et al. Mapping of brain activation in response to pharmacological agents using fMRI in the rat. , 2001, Magnetic resonance imaging.
[58] Alain Pitiot,et al. A multimodal, multidimensional atlas of the C57BL/6J mouse brain , 2004, Journal of anatomy.
[59] Jun Yang,et al. Statistical parametric mapping applied to an autoradiographic study of cerebral activation during treadmill walking in rats , 2004, NeuroImage.
[60] James S. Duncan,et al. A Robust Point Matching Algorithm for Autoradiograph Alignment , 1996, VBC.
[61] A. R. McIntosh,et al. Movement and novelty of a square wave display affect 2-deoxyglucose uptake in the rat visual system , 1989, Behavioural Brain Research.
[62] Simon R. Cherry,et al. 18 – Imaging Brain Function with Positron Emission Tomography , 2002 .
[63] Jesper L. R. Andersson,et al. A template for spatial normalisation of MR images of the rat brain , 2003, Journal of Neuroscience Methods.